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https://doi.org/10.1080/03610918.2015.1035444

has been cited by the following article:

• TITLE: On Identifying Influential Observations in the Presence of Multicollinearity

  AUTHORS: Chinwendu Alice Uzuke, Ifeyinwa Christiana Ezeilo

  KEYWORDS: Multicollinerity, Ridge Parameter, Influential Measures, Outliers, Leverage Point

  JOURNAL NAME: Open Journal of Statistics, Vol.11 No.2, April 1, 2021

  ABSTRACT: Influential observation is one which either individually or together with several other observations has a demonstrably large impact on the values of various estimates of regression coefficient. It has been suggested by some authors that multicollinearity should be controlled before attempting to measure influence of data point. In using ridge regression to mitigate the effect of multicollinearity, there arises a problem of choosing possible of ridge parameter that guarantees stable regression coefficients in the regression model. This paper seeks to check whether the choice of ridge parameter estimator influences the identified influential data points.